Wyniki wyszukiwania

1

Effects of coastal upwelling on picophytoplankton distribution off the coast of Zhanjiang in South China Sea

100%

Wu M.-L., Wang Y.-S., Wang D.-X., Dong J.-D.

Oceanological and Hydrobiological Studies

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2014

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tom 43

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nr 3

2

The effect of multiple heavy metals on ascorbate, glutathione and related enzymes in two mangrove plant seedlings [Kandelia candel and Bruguiera gymnorrhiza]

88%

Huang G.-Y., Wang Y.-S., Sun C.-C., Dong J.-D., Sun Z.-X.

Oceanological and Hydrobiological Studies

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2010

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tom 39

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nr 1

11-25

3

Monsoon-driven dynamics of environmental factors and phytoplankton in tropical Sanya Bay, South China Sea

76%

Wu M.-L., Zhang Y.-Y., Dong J.-D., Cai C.-H., Wang Y.-S., Long L.-J., Zhang S.

Oceanological and Hydrobiological Studies

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2012

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tom 41

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nr 1

4

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Using chemometrics to identify water quality in Daya Bay, China

76%

Wu M.-L., Wang Y.-S., Sun C.-C., Wang H., Lou Z.-P., Dong J.-D.

Oceanologia

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2009

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tom 51

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nr 2

217-232

In this paper, chemometric approaches based on cluster analysis, classical and robust principal component analysis were employed to identify water quality in Daya Bay (DYB), China. The results show that these approaches divided water quality in DYB into two groups: stations S3, S8, S10 and S11 belong to cluster A, which lie in Dapeng Cove, Aotou Harbor and the north-eastern part of DYB, where water quality is related mainly to anthropogenic activities. The other stations belong to cluster B, which lie in the southern, central and eastern parts of DYB, where the quality is related mainly to water exchange with the South China Sea. Cluster analysis yields good results as a first exploratory method for evaluating spatial difference, but it fails to demonstrate the relationship between variables and environmental quality on the one hand and the untreated data on the other. However, with the aid of suitable chemometric approaches, the relationship between samples or variables can be investigated. Classical and robust principal component analysis can provide a visual aid for identifying the water environment in DYB, and then extracting specific information about relationships between variables and spatial variation trends in water quality.

5

Vertical variations of bacterial community composition in South China Sea determined by DGGE fingerprinting and multivariate analysis

76%

Yin J.-P., Ling J., Dong J.-D., Wu M.-L., Zhang Y.-Y., Wang Y.-S.

Polish Journal of Environmental Studies

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2014

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tom 23

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nr 5

Vertical variations of bacterial community composition in the South China Sea was investigated on 18 September 2009 by denaturing gradient gel electrophoresis (DGGE) and analyzed by multivariate analysis. Twenty-seven sequences retrieved from DGGE bands fell into five groups based on BLAST analysis. The dominant bacteria were Cyanobacteria (35.7%) and Proteobacteria (39.2%). The DGGE profile showed Proteobacteria mostly obtained from samples from the deeper layers while sequences related to Cyanobacteria only existed in the euphotic layer. Other phylogenetic groups have been identified as Firmicutes (10.7%), Actinobacteria (7.1%), and Deinococcus-Thermus (3.6%). The unweighted pair group method with arithmetic mean has been employed to cluster the samples, and results indicated that all samples tended to group together on the basis of depth and could be further subclassified into two subgroups: Group I (including samples from 0 m, 50 m, 75 m, 100 m, and 150 m) and Group II (including samples from 200 m, 400 m, 500 m, 600 m, 700 m, and 900 m). Canonical correspondence analysis revealed the temperature was the most significant factor in determining the vertical distribution of the bacterial community (P=0.018, P<0.05).

6

Monsoon-driven dynamics of water quality by multivariate statistical methods in Daya Bay, South China Sea

64%

Wu M.-L., Wang Y.-S., Sun C.-C., Sun F.-L., Cheng H., Wang Y.-T., Dong J.-D., Wu J.

Oceanological and Hydrobiological Studies

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2012

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tom 41

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nr 4

Ograniczanie wyników

4 Oceanological and Hydrobiological Studies

1 Oceanologia

1 Polish Journal of Environmental Studies

6 Dong J.-D.

6 Wang Y.-S.

5 Wu M.-L.

3 Sun C.-C.

2 Zhang Y.-Y.

1 Cai C.-H.

1 Cheng H.

1 Huang G.-Y.

1 Ling J.

1 Long L.-J.

1 Lou Z.-P.

1 Sun F.-L.

1 Sun Z.-X.

1 Wang D.-X.

1 Wang H.

1 Wang Y.-T.

1 Wu J.

1 Yin J.-P.

1 Zhang S.

2 2014

2 2012

1 2010

1 2009

Effects of coastal upwelling on picophytoplankton distribution off the coast of Zhanjiang in South China Sea

The effect of multiple heavy metals on ascorbate, glutathione and related enzymes in two mangrove plant seedlings [Kandelia candel and Bruguiera gymnorrhiza]

Monsoon-driven dynamics of environmental factors and phytoplankton in tropical Sanya Bay, South China Sea

Using chemometrics to identify water quality in Daya Bay, China

Vertical variations of bacterial community composition in South China Sea determined by DGGE fingerprinting and multivariate analysis

Monsoon-driven dynamics of water quality by multivariate statistical methods in Daya Bay, South China Sea